Current scientific applications are often structured as workflows and rely on workflow systems to compile abstract experiment designs into enactable workflows that utilize the best available resources. The automation of this step, and of the workflow enactment, hides the details about how results are produced. Knowing how compilation and enactment occurred allows results to be reconnected with the experiment design. The authors investigate how provenance helps scientists connect their results with the actual execution that took place, their original experiment, and its inputs and parameters.